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Influence of supporting teeth quantity of surgical guide on the accuracy of the immediate implant in the maxillary central incisor: an in vitro study.
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Faculty of Odonto-Stomatology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 749000, Vietnam.
Introduction: Guided surgery for immediate anterior implants aims to reduce the time required for aesthetic and functional immediate loading. However, the limited surface area of anterior teeth for guide stabilization may affect the accuracy of implant positioning. This in vitro study evaluated the effect of the number of supporting teeth on the accuracy of immediate implants in the maxillary central incisor region.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
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Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFDevelopment and evaluation of high fidelity, multidisciplinary simulation training course for high consequence infectious diseases using fluorescence visualisation.
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Health - Exposure and Control Group, Health and Safety Executive Science and Research Centre, Buxton, UK. Electronic address:
Background: High consequence infectious diseases (HCID) include contact-transmissible viral haemorrhagic fevers and airborne-transmissible infections such as Middle Eastern Respiratory Syndrome. Assessing suspected HCID cases requires specialised infection control measures including patient isolation, personal protective equipment (PPE), and decontamination. There is need for an accessible course for NHS staff to improve confidence and competence in using HCID PPE outside specialist HCID centres.
View Article and Find Full Text PDFComparison of Population Pharmacokinetic Modeling and Machine Learning Approaches for Predicting Voriconazole Trough Concentrations in Critically Ill Patients.
Int J Antimicrob Agents
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Department of Pharmacy, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510163, China. Electronic address:
Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.
View Article and Find Full Text PDFA cross-species assessment of in silico prediction methods of steady-state volume of distribution using Simcyp Simulators.
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Certara UK Ltd., Certara Predictive Technologies Division, 1 Concourse Way, Level 2-Acero, Sheffield, S1 2BJ, United Kingdom. Electronic address:
Predicting steady-state volume of distribution (V) is a key component of pharmacokinetic predictions and often guided using preclinical data. However, when bottom-up prediction from physiologically-based pharmacokinetic (PBPK) models and observed V misalign in preclinical species, or predicted V from different models varies significantly, no consensus exists for selecting models or preclinical species to improve the prediction. Through systematic analysis of V prediction across rat, dog, monkey, and human, using common methods, a practical strategy for predicting human V, with or without integration of preclinical PK information is warranted.
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